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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Multi-label classification of fundus images with graph convolutional network and LightGBM
Kai Sun, Mengjia He, Xu Yao, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 105909-105909
Closed Access | Times Cited: 19

Showing 19 citing articles:

A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation
Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra
Expert Systems with Applications (2023) Vol. 244, pp. 122778-122778
Open Access | Times Cited: 106
On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3173-3233
Open Access | Times Cited: 78
Discriminative kernel convolution network for multi-label ophthalmic disease detection on imbalanced fundus image dataset
Amit Bhati, Neha Gour, Pritee Khanna, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106519-106519
Open Access | Times Cited: 27
A concentrated machine learning-based classification system for age-related macular degeneration (AMD) diagnosis using fundus images
Aya A. Abd El-Khalek, Hossam Magdy Balaha, Norah Saleh Alghamdi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Prediction of blood–brain barrier penetrating peptides based on data augmentation with Augur
Zhi-Feng Gu, Yu-Duo Hao, Tianyu Wang, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 11
Deep learning for diabetic retinopathy assessments: a literature review
Ayoub Skouta, Abdelali Elmoufidi, Said Jai Andaloussi, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 27, pp. 41701-41766
Closed Access | Times Cited: 19
Integration of machine learning and hydrodynamic modeling to solve the extrapolation problem in flood depth estimation
Huu Duy Nguyen, Dinh Kha Dang, Nhu Y Nguyen, et al.
Journal of Water and Climate Change (2023) Vol. 15, Iss. 1, pp. 284-304
Open Access | Times Cited: 11
An efficient framework for optic disk segmentation and classification of Glaucoma on fundus images
Jignyasa Sanghavi, Manish P. Kurhekar
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105770-105770
Closed Access | Times Cited: 8
Multi-Label Classification of Fundus Images with Optimized Vision Transformer Based Wasserstein Deep Convolutional Generative Adversarial Network
K. Sreekumar, E. R. Vimina
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access | Times Cited: 2
Intuitionistic fuzzy least squares MLTSVM for noisy label data using label-specific features and local label correlation
Fei Li, Qing Ai, Xiangna Li, et al.
Expert Systems with Applications (2024), pp. 125351-125351
Closed Access | Times Cited: 2
A multi-label transformer-based deep learning approach to predict focal visual field progression
Ling Chen, Vincent S. Tseng, Ta-Hsin Tsung, et al.
Graefe s Archive for Clinical and Experimental Ophthalmology (2024) Vol. 262, Iss. 7, pp. 2227-2235
Closed Access | Times Cited: 1
TL-CCL: Two-level causal contrastive learning for multi-label ocular disease diagnosis with fundus images
Wei Wang, Xiongwen Quan, Wanwan Huang, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106308-106308
Closed Access | Times Cited: 1
Evaluating the Accuracy of Machine Learning Classification Models for Similar Herbal Medicine Using Hyperspectral Imaging
So Jin Park, Hyo In Yoon, Hyein Lee, et al.
Journal of Biosystems Engineering (2024) Vol. 49, Iss. 2, pp. 156-166
Closed Access | Times Cited: 1
Multiclass multilabel ophthalmological fundus image classification based on optimised deep feature space evolutionary model
Akanksha Bali, Vibhakar Mansotra
Multimedia Tools and Applications (2023) Vol. 83, Iss. 16, pp. 49813-49843
Closed Access | Times Cited: 4
Combining EfficientNet with ML-Decoder classification head for multi-label retinal disease classification
Orhan Sıvaz, Murat Aykut
Neural Computing and Applications (2024) Vol. 36, Iss. 23, pp. 14251-14261
Open Access | Times Cited: 1
Multi-label classification of retinal diseases based on fundus images using Resnet and Transformer
Jiaqing Zhao, Jianfeng Zhu, Jiangnan He, et al.
Medical & Biological Engineering & Computing (2024)
Closed Access | Times Cited: 1
Fundus-DANet: Dilated Convolution and Fusion Attention Mechanism for Multilabel Retinal Fundus Image Classification
Yan Yang, Liu Yang, Wenbo Huang
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8446-8446
Open Access | Times Cited: 1
Prediction of non-stationary daily streamflow series based on ensemble learning: a case study of the Wei River Basin, China
Wei Ma, Xiao Zhang, Jiancang Xie, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 1
MLapRVFL: Protein sequence prediction based on Multi-Laplacian Regularized Random Vector Functional Link
Xingyue Gu, Yijie Ding, Pengfeng Xiao
Computers in Biology and Medicine (2023) Vol. 167, pp. 107618-107618
Closed Access | Times Cited: 3
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